Triple

T9784950
Position Surface form Disambiguated ID Type / Status
Subject Senior Airman (USSF enlisted rank) E237470 entity
Predicate abbreviation P43 FINISHED
Object SrA
SrA is the standard abbreviation for the United States Space Force enlisted rank of Senior Airman.
 E822100 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SrA | Statement: [Senior Airman (USSF enlisted rank), abbreviation, SrA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SrA
Context triple: [Senior Airman (USSF enlisted rank), abbreviation, SrA]
  • A. SR A1A
    SR A1A is a scenic Florida state highway that runs along much of the Atlantic coastline, serving as a major coastal route and popular tourist drive.
  • B. SRU
    SRU (Search/Retrieve via URL) is a standard web-based search protocol that enables querying and retrieving information from remote databases using URLs and XML.
  • C. SRA
    SRA is the abbreviation for the former UK government body, the Strategic Rail Authority, which was responsible for overseeing and planning the country’s rail network.
  • D. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • E. SRSA
    SRSA (Small, Rural School Achievement) is a federal program that provides financial assistance and flexibility to small, rural school districts in the United States to help them improve student academic achievement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SrA
Triple: [Senior Airman (USSF enlisted rank), abbreviation, SrA]
Generated description
SrA is the standard abbreviation for the United States Space Force enlisted rank of Senior Airman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SrA
Target entity description: SrA is the standard abbreviation for the United States Space Force enlisted rank of Senior Airman.
  • A. SR A1A
    SR A1A is a scenic Florida state highway that runs along much of the Atlantic coastline, serving as a major coastal route and popular tourist drive.
  • B. SRU
    SRU (Search/Retrieve via URL) is a standard web-based search protocol that enables querying and retrieving information from remote databases using URLs and XML.
  • C. SRA
    SRA is the abbreviation for the former UK government body, the Strategic Rail Authority, which was responsible for overseeing and planning the country’s rail network.
  • D. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • E. SRSA
    SRSA (Small, Rural School Achievement) is a federal program that provides financial assistance and flexibility to small, rural school districts in the United States to help them improve student academic achievement.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41fc5508190a759cdda8416673a completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c53b888081908ecb01884f064b80 completed April 5, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:27 p.m.